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Tag Archives: Texifter
Interactive Custom Machine Classifier Histograms
This is the latest DiscoverText filtering feature designed to speed up the creation of accurate custom machine classifiers. This video shows how we use an interactive display of classifier scores to isolate items in a dataset that require further human … Continue reading
Posted in DiscoverText, general, product
Tagged Active Learning, analytics, DiscoverText, Machine Learning, NLP, Social Media, software, statistics, Texifter, Text Analysis, Text Analytics
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Start-up Showcase
Joe and I had fun fielding questions, passing out literature and giving away DiscoverText t-shirts. Many thanks once again for the excellent facilities and services from our MassChallenge hosts. We met some leaders of cool start-ups, a number of interesting … Continue reading
Posted in DiscoverText, general, Texifter
Tagged DiscoverText, HR Analytics, Texifter, Text Analytics
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Shout Out to Boston New Tech Meetup #BNT19
A big thanks goes out to the organizers of the Boston New Technology Meetup, held at the Microsoft NERD Center on Tuesday, July 25th (#BNT19). The Citigroup-sponsored event gathered a nice crowd of entrepreneurs, technologists, and start-up enthusiasts, all of whom … Continue reading
Posted in DiscoverText, general, Texifter
Tagged DiscoverText, Google, HR Analytics, Machine Classifiers, Machine Learning, Research, Social Media, Texifter, Text Analysis, Text Analytics, Twitter Analysis
1 Comment
Coding Off a List
We are always looking for ways to speed up the process of creating accurate custom machine classifiers. Coding off a list is one such method. This video demonstrates a simple approach that can be applied to a variety of text … Continue reading
Posted in DiscoverText, general
Tagged Code Text, coding, DiscoverText, Machine Learning, R&D, Social Media, Texifter, Text Analytics
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Texifter in 60 Seconds
This 60-second video introduces our start-up. Click on the image below to see the Screencast and let us know what you think. Tweet This Post
Posted in Texifter
Tagged Active Learning, business, DiscoverText, Machine Learning, Social Media, software, start-up, Texifter, Text Analytics
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Analyzing Co-Occurrences
A common question we hear at Texifter is, “How can one derive co-occurrences in a slice of data?” DiscoverText makes this process relatively easy – when starting with one known variable. For instance, one might like to see which hashtags … Continue reading
Posted in DiscoverText, general, research
Tagged analysis, analytics, co-occurrences, DiscoverText, hashtags, insight, links, Media, romney, SMA, social, Social Media, Social Media Analytics, statistics, stats, Texifter, tweet, Tweets, twitter, Twitter Analysis, twitter stats, urls
1 Comment
Texifter in MassChallenge Semifinal
Texifter moved into the MassChallenge semifinals earlier this week. Fresh off pitching the River Valley Investors and LaunchPad Investors, this new pitch will be our third in less than a month. MassChallenge was lauded by President Obama at the 2012 … Continue reading
Posted in general
Tagged analytics, Angel Funding, Classifiers, DiscoverText, HR Analytics, LaunchPad, Machine Learning, Mass Challenge, Sifers, Texifter, Text Analytics, VC, Voice of the Customer
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Election Analytics Part I: Romney Trends in April
[In the coming months leading up the U.S. presidential election, the Texifter blog will be featuring a multi-part series on various analytical insights into the election, which can be gained by utilizing a host of social media analytics (SMA) methods within … Continue reading
Posted in DiscoverText, research, Twitter
Tagged Active Learning, analytics, API, conservative, Data Mining, DiscoverText, election, Facebook API, gingrich, GNIP, hashtags, liberal, Machine Classifiers, Machine Learning, newt, newt gingrich, nomination, nomineee, p2, primary, Republican, republican nomination, republican nominee, rnc, romney, Ron Paul, santorum, SMA, Social Media, Social Media Analytics, statistics, Texifter, Text Analysis, Text Analytics, Tweets, twitter, Twitter API, Twitter Mining, withnewt
1 Comment
“You Don’t Say”
I am looking forward to making a joint presentation with JetBlue employee Jeremy Kasle at the upcoming 2012 SIOP conference in San Diego, CA. Our panel also has experts from Dell & Google and we anticipate sharing best practices with … Continue reading
Posted in DiscoverText, general
Tagged analytics, HR, JetBlue, open-ended responses, People Analytics, software, surveys, Texifter
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As Syria Falls, Russia Rises…on Twitter
Bordering Turkey, Israel, Lebanon, Iraq, and Jordan, Syria has served as a linchpin of geopolitical stability in the Middle East for decades. In spite of its many years of single-party dictatorial rule, its track-record of Lebanese encroachment, and its continuous … Continue reading
Posted in general
Tagged analytics, Arabic, Bayesian classification, DiscoverText, free syrian army, hegemony, hezbollah, ikhwan, intervention, iran, iranian, islamic extremism, islamism, islamist, israel, jordan, lebanon, Middle East, military, military intervention, money, muslim brotherhood, Natural Language Processing, NLP, proxy, proxy war, proxy wars, russia, Saudi Arabia, Sentiment Analysis, Social Media, Social Media Analytics, Syria, syrian national council, Texifter, Text Analytics, Topic Modeling, turkey, twitter, إسرائيل, إيراني, الأردن, الإخوان, الإسلام, الاسلامية, البرمجة اللغوية العصبية, التدخل العسكري, التطرف الإسلامي, الجيش السوري مجانا, الحروب بالوكالة, الروسية, الشرق الأوسط, العربية, العربية السعودية, المال, المجلس الوطني السوري, الوكيل, ايران, بايزي التصنيف, تحليل المشاعر, تحليلات, تحليلات وسائل الاعلام الاجتماعية, تدخل, تركيا, حرب بالوكالة, حزب الله, روسيا, روسية, سوريا, سيطرة, عسكري, لبنان, مسلم الإخوان, موضوع النمذجة, نص تحليلات, وسائل الاعلام الاجتماعية, وكلاء
2 Comments
Decoding the Hunger Games
Essentially, everybody is trying to tell a story these days. Unfortunately, what we’ve been finding is that the stories are getting increasingly prescribed. That’s true for media and brands. There’s a confidence that gets lost when the question of who … Continue reading
Posted in general
Tagged #OWS, analytics, Anthropology, books, Culture Mapping, DiscoverText, Film, Film Analytics, Games, Hunger, Hunger Games, Katniss, Libertarian, Market Research, marketer, Marketing, Movie, Occupy, role model, semiotics, SMA, Social Media Analytics, TCOT, Tea Party, Texifter, Text, Text Analytics, twitter
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Texifter, JetBlue & Google @SIOP
Prior to heading to IHRIM in Chicago at the beginning of May, Texifter will be making an appearance in San Diego at the 2012 Society of Industrial and Organizational Psychology (SIOP) Conference. SIOP is a division of the American Psychological … Continue reading
Weibo Arrives @DiscoverText
After months of user anticipation, the Weibo API is now integrated into DiscoverText, our “do-it-yourself” text analytic solution for deriving insight from unstructured text. With over 300 million users, Weibo is the largest micro-blogging website in China. Its integration into … Continue reading
Posted in DiscoverText, general, product, research, Twitter
Tagged #bigdata, Active Learning, analytics, API, API Graph, big data, China, Chinese, Chinese Big Data, Chinese media, Data Mining, DiscoverText, Machine Classifiers, Machine Learning, Media, NLP, SMA, Social Media, Social Media Analytics, social media monitoring, Texifter, Text Analysis, Text Analytics, Tweets, Twitter API, Twitter Mining, weibo
1 Comment
Texifter at IHRIM 2012
On May 1st and 2nd, Texifter personnel will be bringing DiscoverText to IHRIM in Chicago, Illinois. The event is the largest gathering of Human Resource (HR) professionals in the country. The meeting facilitates the exchange of new ideas and technologies for use in … Continue reading
Posted in general
Tagged analytics, DiscoverText, Employee Engagement, HR Analytics, Human Capital, Human Resources, Texifter, Text Analysis, Text Analytics
2 Comments
Disqus API is Live!
DiscoverText is pleased to announce it has added Disqus to its repertoire of APIs for harvesting content produced online. Disqus, the world’s largest comment platform operator, has over 70 million users who produce roughly 500,000 comments per day. There are … Continue reading →